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Record W1496821926 · doi:10.1080/15332980802072538

The Young Schema Questionnaire in Group Therapy: A Client-Focused Approach

2008· article· en· W1496821926 on OpenAlexaff
Kathy Fitzsimmons, Sheila Gallagher, Sandra Blayone, Debbie Chan, Wendy Leaitch, Nancy Veals, Nancy Wilkinson

Bibliographic record

VenueSocial Work in Mental Health · 2008
Typearticle
Languageen
FieldPsychology
TopicPsychotherapy Techniques and Applications
Canadian institutionsLakeridge Health
Fundersnot available
KeywordsSchema (genetic algorithms)PsychologyMental healthClinical psychologyPsychotherapistComputer science

Abstract

fetched live from OpenAlex

SUMMARY The purpose of this research was to determine the most common schemas of clients presenting for group therapy and to evaluate how these schemas change after treatment. Schemas are defined as pervasive themes about oneself, others, and expectations in relationships, which begin to develop in childhood and continue throughout one's lifetime. The research was done in a 6-week mental health day treatment program servicing clients discharged from an inpatient psychiatric unit or the emergency crisis clinic. Clients completed the Young Schema Questionnaire during the assessment phase of the program and again upon discharge. Clients were given immediate feedback on their specific schemas, followed by a discussion about how the schemas fit with their current situation and treatment goals. During treatment, clients were encouraged to reflect upon and discuss their identified schemas. The most common schemas in our setting are presented, as well as a rationale for why schemas decreased over the course of treatment. The implications of using the schema questionnaire to facilitate clients' progress in the course of treatment and for program evaluation is addressed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.609
Threshold uncertainty score0.726

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.044
GPT teacher head0.368
Teacher spread0.324 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2008
Admission routes1
Has abstractyes

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